algo-rank-bayesian
bycharlieviettq· 60 skills
\"Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.\".
How to install algo-rank-bayesian?
charlieviettq/awesome-agent-skill/algo-rank-bayesian
$npx -y skills add charlieviettq/awesome-agent-skill --skill algo-rank-bayesianInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/charlieviettq/awesome-agent-skill" --skill "charlieviettq/awesome-agent-skill/algo-rank-bayesian"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/charlieviettq/awesome-agent-skill" that are relevant to the current task. Run `npx skills add "https://github.com/charlieviettq/awesome-agent-skill"` and select the relevant skills, then follow their instructions.
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